Cardiovascular Responses to Eccentric Cycling Based on Perceived Exertion Compared to Concentric Cycling, Effect of Pedaling Rate, and Sex.

cardiovascular responses cycling eccentric individualization sex difference

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
31 Dec 2023
Historique:
received: 02 11 2023
revised: 20 12 2023
accepted: 29 12 2023
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 22 1 2024
Statut: epublish

Résumé

Interest in eccentric exercises has increased over the last decades due to its efficiency in achieving moderate-high intensity muscular work with reduced metabolic demands. However, individualizing eccentric exercises in rehabilitation contexts remains challenging, as concentric exercises mainly rely on cardiovascular parameters. To overcome this, perceived exertion could serve as an individualization tool, but the knowledge about cardiovascular responses to eccentric cycling based on perceived exertion are still scarce. For this purpose, the cardiorespiratory parameters of 26 participants were assessed during two 5 min bouts of concentric cycling at 30 and 60 rpm and two bouts of eccentric cycling at 15 and 30 rpm matched for rating of perceived exertion. With this method, we hypothesized higher exercise efficiency during eccentric cycling for a same perceived exertion. The results revealed significantly elevated heart rate and cardiac index at higher pedalling rates during concentric (

Identifiants

pubmed: 38248524
pii: ijerph21010059
doi: 10.3390/ijerph21010059
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Agence Nationale de la Recherche
ID : EXOMODE-ANR-15-CE19-0023

Auteurs

Victorien Faivre-Rampant (V)

MPFRPV, Exercise Performance Health Innovation (EPHI) Platform, Université de Franche-Comté, F-25000 Besançon, France.
UMRS 1075-Mobilités: Vieillissement, Pathologie, Santé, COMETE, University of Normandie, F-14000 Caen, France.
Department of Automatics, Biocybernetics, and Robotics, Jozef Stefan Institut, SI-1000 Ljubljana, Slovenia.
Jožef Stefan International Postgraduate School, Jamova cesta 39, 1000 Ljubljana, Slovenia.

Mark Rakobowchuk (M)

Department of Biological Sciences, Faculty of Science, Thompson Rivers University, Kamloops, BC V2C 0C8, Canada.

Nicolas Tordi (N)

PEPITE, Exercise Performance Health Innovation (EPHI) Platform, Université de Franche-Comté, F-25000 Besançon, France.

Laurent Mourot (L)

MPFRPV, Exercise Performance Health Innovation (EPHI) Platform, Université de Franche-Comté, F-25000 Besançon, France.

Classifications MeSH